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What is `react-native-svg`?
`react-native-svg` is a library that provides SVG support in React Native applications. It allows you to use SVG elements and attributes to create vector graphics, which are scalable and resolution-independent. This library is useful for displaying custom icons, charts, and other graphics that require high-quality rendering.
`react-native-svg` is a library that provides SVG support in React Native applications. It allows you to use SVG elements and attributes to create vector graphics, which are scalable and resolution-independent. This library is useful for displaying custom icons, charts, and other graphics that require high-quality rendering.
Implement Depth-First Search
DFS explores as far as possible along each branch before backtracking. Use a stack or recursion to keep track of nodes. For example, in a graph with nodes 1 -> 2 -> 3, DFS from 1 explores 1, 2, and then 3.
DFS explores as far as possible along each branch before backtracking. Use a stack or recursion to keep track of nodes. For example, in a graph with nodes 1 -> 2 -> 3, DFS from 1 explores 1, 2, and then 3.
Detect a Cycle in a Directed Graph
Use Depth-First Search with a tracking mechanism for visited nodes. If a node is revisited during the same DFS traversal, a cycle exists. For example, in a graph with edges 1 -> 2 -> 3 -> 1, a cycle is detected.
Use Depth-First Search with a tracking mechanism for visited nodes. If a node is revisited during the same DFS traversal, a cycle exists. For example, in a graph with edges 1 -> 2 -> 3 -> 1, a cycle is detected.
Find the Shortest Path in an Unweighted Graph
Use BFS to explore the shortest path in an unweighted graph. Enqueue the starting node, then visit each neighbor while updating distances. For example, in a graph with edges (1 -> 2), (2 -> 3), (1 -> 3), the shortest path from 1 to 3 is 1 -> 3.
Use BFS to explore the shortest path in an unweighted graph. Enqueue the starting node, then visit each neighbor while updating distances. For example, in a graph with edges (1 -> 2), (2 -> 3), (1 -> 3), the shortest path from 1 to 3 is 1 -> 3.
Implement Breadth-First Search
BFS explores all neighbors of a node before moving to the next level. Use a queue to keep track of nodes. For example, in a graph with nodes 1 -> 2 -> 3, BFS from 1 explores 1, then 2 and 3.
BFS explores all neighbors of a node before moving to the next level. Use a queue to keep track of nodes. For example, in a graph with nodes 1 -> 2 -> 3, BFS from 1 explores 1, then 2 and 3.
Find the Longest Path in a Directed Acyclic Graph
Use topological sorting to order nodes and then apply dynamic programming to find the longest path. For example, in a DAG with edges 1 -> 2, 1 -> 3, 2 -> 4, 3 -> 4, the longest path is 1 -> 2 -> 4 or 1 -> 3 -> 4.
Use topological sorting to order nodes and then apply dynamic programming to find the longest path. For example, in a DAG with edges 1 -> 2, 1 -> 3, 2 -> 4, 3 -> 4, the longest path is 1 -> 2 -> 4 or 1 -> 3 -> 4.